The Malacca River basin experienced river water pollution which caused a major deterioration to the
ecosystems and environmental health. This study is carried out to assess the water quality data and identify the
pattern of water pollution sources in the study area, and also to develop a predictive performance of water quality
in the Malacca River basin. A chemometric approach using a combination of HCA, DA, PCA, and MLR, was
applied into twenty water quality variables from nine sampling stations that were collected from January until
December of 2015 in the river basin. HCA pointed out three clusters, namely Cluster 1 (C1) with low pollution
source, Cluster 2 (C2) with moderate pollution source, and Cluster 3 (C3) with high pollution source. In the DA
analysis, the results showed 21 variables, 12 variables, and 9 variables for standard mode, forward stepwise mode,
and backward stepwise mode, respectively. Meanwhile, the PCA indicated that the main source of pollutants is
detected from residential, industrial, commercial, agricultural, animal livestock, as well as forest land. Among the
three models developed from MLR analysis, C3 with a high pollution source is detected to be the most suitable
model to be used for the prediction of Water Quality Index in the Malacca River basin. This study proposed for an
effective river water quality management by having new water quality monitoring network to be designed for more
practical use in order to reduce time and effort, as well as cost saving purposes.
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